MIT and partners release ImpactBench and AI Nutrition Labels
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MIT Media Lab's Advancing Humans with AI program, together with the USC Marshall Neely Center, UC Berkeley, and the Psychology of Technology Institute, released the open research framework ImpactBench and the consumer-facing tool AI Nutrition Labels to measure AI's impact on human health and well-being. The releasers invite researchers, domain experts, and institutions to use the platform, propose new benchmarks, validate existing benchmarks, and participate in deciding how results are presented. The releasers say the current results are only early signals from preliminary testing, not a final determination of the safety of any system.
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- Hacker News AIAI Nutrition Labels, a New Tool Measuring AI's Impact on Human Wellbeing
The MIT Media Lab's Advancing Humans with AI program, with USC's Marshall Neely Center, UC Berkeley, and the Psychology of Technology Institute, announced ImpactBench, an open research framework measuring AI's impact on human health and wellbeing, and its consumer-facing AI Nutrition Labels. ImpactBench currently evaluates frontier AI models across 800 metrics and 26 benchmarks, distilling results into at-a-glance ratings on avoiding harms like hallucination, sycophancy, and toxicity and on promoting behaviors such as user agency. Initial testing found every model performed better at avoiding harm than at promoting human flourishing, with Learning & Skill Development scoring lowest of all categories.
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